code stringlengths 114 1.05M | path stringlengths 3 312 | quality_prob float64 0.5 0.99 | learning_prob float64 0.2 1 | filename stringlengths 3 168 | kind stringclasses 1
value |
|---|---|---|---|---|---|
try:
from micropython import const
except ImportError:
def const(n): return n
from rgb_display.rgb import DisplayDevice
__version__ = "0.0.0-auto.0"
__repo__ = "https://github.com/jrmoser/RGB_Display.git"
_SETCOLUMN = const(0x15)
_SETROW = const(0x75)
_WRITERAM = const(0x5C)
_READRAM = const(0x5D)
_SETREMAP =... | /rgb-display-0.0.5.tar.gz/rgb-display-0.0.5/rgb_display/ssd1351.py | 0.489748 | 0.162446 | ssd1351.py | pypi |
try:
import struct
except ImportError:
import ustruct as struct
try:
from micropython import const
except ImportError:
def const(n): return n
from rgb_display.rgb import DisplayDevice
__version__ = "0.0.0-auto.0"
__repo__ = "https://github.com/jrmoser/RGB_Display.git"
_NOP = const(0x00)
_SWRESET = con... | /rgb-display-0.0.5.tar.gz/rgb-display-0.0.5/rgb_display/st7789.py | 0.455441 | 0.190159 | st7789.py | pypi |
try:
from micropython import const
except ImportError:
def const(n): return n
from rgb_display.rgb import DisplayDevice
__version__ = "0.0.0-auto.0"
__repo__ = "https://github.com/jrmoser/RGB_Display.git"
_SWRESET = const(0x01)
_SLPOUT = const(0x11)
_NORON = const(0x13)
_INVOFF = const(0x20)
_INVON = const(0x... | /rgb-display-0.0.5.tar.gz/rgb-display-0.0.5/rgb_display/hx8357.py | 0.564219 | 0.156362 | hx8357.py | pypi |
try:
import struct
except ImportError:
import ustruct as struct
from rgb_display.rgb import DisplayDevice
__version__ = "0.0.0-auto.0"
__repo__ = "https://github.com/jrmoser/RGB_Display.git"
class ILI9341(DisplayDevice):
"""
A simple driver for the ILI9341/ILI9340-based displays.
>>> import busi... | /rgb-display-0.0.5.tar.gz/rgb-display-0.0.5/rgb_display/ili9341.py | 0.495361 | 0.20953 | ili9341.py | pypi |
import digitalio
import board
from PIL import Image, ImageDraw, ImageFont
import adafruit_rgb_display.ili9341 as ili9341
import adafruit_rgb_display.st7789 as st7789 # pylint: disable=unused-import
import adafruit_rgb_display.hx8357 as hx8357 # pylint: disable=unused-import
import adafruit_rgb_display.st7735 as st773... | /rgb-display-0.0.5.tar.gz/rgb-display-0.0.5/examples/rgb_display_pillow_demo.py | 0.606032 | 0.183685 | rgb_display_pillow_demo.py | pypi |
import time
import subprocess
import digitalio
import board
from PIL import Image, ImageDraw, ImageFont
import adafruit_rgb_display.ili9341 as ili9341
import adafruit_rgb_display.st7789 as st7789 # pylint: disable=unused-import
import adafruit_rgb_display.hx8357 as hx8357 # pylint: disable=unused-import
import adafru... | /rgb-display-0.0.5.tar.gz/rgb-display-0.0.5/examples/rgb_display_pillow_stats.py | 0.450601 | 0.152379 | rgb_display_pillow_stats.py | pypi |
import digitalio
import board
from PIL import Image, ImageDraw
import adafruit_rgb_display.ili9341 as ili9341
import adafruit_rgb_display.st7789 as st7789 # pylint: disable=unused-import
import adafruit_rgb_display.hx8357 as hx8357 # pylint: disable=unused-import
import adafruit_rgb_display.st7735 as st7735 # pylint... | /rgb-display-0.0.5.tar.gz/rgb-display-0.0.5/examples/rgb_display_pillow_image.py | 0.484136 | 0.182553 | rgb_display_pillow_image.py | pypi |
# -*- coding: utf-8 -*-
import time
import subprocess
import digitalio
import board
from PIL import Image, ImageDraw, ImageFont
import adafruit_rgb_display.st7789 as st7789
# Configuration for CS and DC pins (these are FeatherWing defaults on M0/M4):
cs_pin = digitalio.DigitalInOut(board.CE0)
dc_pin = digitalio.Dig... | /rgb-display-0.0.5.tar.gz/rgb-display-0.0.5/examples/rgb_display_minipitftstats.py | 0.406862 | 0.21626 | rgb_display_minipitftstats.py | pypi |
# rgbloom
This Python script retrieves RGB magnitudes computed from low resolution
spectra published in *Gaia* DR3, following the work described in
[Carrasco et al. (2023)](#3).
These magnitudes are given in the standard system defined by
[Cardiel et al. (2021a)](#1).
This code is an updated version of [rgblues](htt... | /rgbloom-1.3.tar.gz/rgbloom-1.3/README.md | 0.511473 | 0.90355 | README.md | pypi |
# rgblues
This Python script predicts RGB magnitudes from *Gaia* EDR3
photometric data. These magnitudes are given in the standard system defined by
[Cardiel et al. (2021a)](#1).
The code performs a cone search defined by coordinates
right ascension and declination on the sky and a search radius. The
predictions m... | /rgblues-1.1.tar.gz/rgblues-1.1/README.md | 0.474388 | 0.928733 | README.md | pypi |
from .basedataset import BaseRGBTDataet,_basepath
from rgbt.utils import *
import os
from rgbt.metrics import PR,SR
class RGBT210(BaseRGBTDataet):
"""
RGBT210 dataset is the subset of RGBT234.\r
`Weighted Sparse Representation Regularized Graph Learning for RGB-T Object Tracking.`\r
[Paper](https://dl.... | /dataset/rgbt210_dataset.py | 0.72027 | 0.211661 | rgbt210_dataset.py | pypi |
from rgbt.dataset.basedataset import BaseRGBTDataet, TrackerResult,_basepath
from rgbt.utils import *
import os
from rgbt.metrics import MPR,MSR
class RGBT234(BaseRGBTDataet):
"""
RGBT234 dataset: `RGB-T Object Tracking: Benchmark and Baseline.`\r
[Paper.](https://arxiv.org/abs/1805.08982) \r
[Download... | /dataset/rgbt234_dataset.py | 0.812682 | 0.249219 | rgbt234_dataset.py | pypi |
from .basedataset import BaseRGBTDataet,_basepath
from rgbt.utils import *
import os
from rgbt.metrics import MPR_GTOT,MSR_GTOT
class GTOT(BaseRGBTDataet):
"""
Publication: `Learning collaborative sparse representation for grayscale-thermal tracking` 2016\\
IEEE Transactions on Image Processing \\
[Dow... | /dataset/gtot_dataset.py | 0.822153 | 0.276573 | gtot_dataset.py | pypi |
# HBP: RGBW Color Space Converter Between HSL / RGB / HSi / HSV / HEX
## Specifically For LED Based Projects
[](https://wakatime.com/badg... | /rgbw_colorspace_converter-0.1.3.tar.gz/rgbw_colorspace_converter-0.1.3/README.md | 0.728362 | 0.877791 | README.md | pypi |
# RGCosm - Reverse Geocode for OpenStreetmap
[](https://github.com/BlackCatDevel0per/rgcosm/actions/workflows/python-publish.yml)
A Python library for offline reverse geocoding from osm(.pbf) GIS convert... | /rgcosm-0.0.5.tar.gz/rgcosm-0.0.5/README.md | 0.631594 | 0.796253 | README.md | pypi |
[](https://github.com/ResonantGeoData/ResonantGeoData/)
# rgd_client - Resonant GeoDataClient
The **rgd_client** Python package is a well typed, easy to use, and extendable Python client for Resonant GeoData APIs.
# In... | /rgd-client-0.3.11.tar.gz/rgd-client-0.3.11/README.md | 0.557725 | 0.856212 | README.md | pypi |
from pathlib import Path
from typing import Dict, List, Optional, Tuple, Union
import validators
from .session import RgdClientSession
from .types import DATETIME_OR_STR_TUPLE, SEARCH_PREDICATE_CHOICE
from .utils import download_checksum_file_to_path, spatial_search_params
class RgdPlugin:
"""The base plugin th... | /rgd-client-0.3.11.tar.gz/rgd-client-0.3.11/rgd_client/plugin.py | 0.915119 | 0.219976 | plugin.py | pypi |
from datetime import datetime
import json
from json.decoder import JSONDecodeError
from pathlib import Path
from typing import Dict, Generator, Iterator, List, Optional, Tuple, Union
from geomet import wkt
import requests
from requests import Response, Session
from .types import DATETIME_OR_STR_TUPLE, SEARCH_PREDICAT... | /rgd-client-0.3.11.tar.gz/rgd-client-0.3.11/rgd_client/utils.py | 0.809765 | 0.188903 | utils.py | pypi |
from dataclasses import dataclass
from pathlib import Path
import tempfile
import time
from typing import Dict, Iterable, Iterator, List, Optional, Tuple, Union
from rgd_client.plugin import RgdPlugin
from rgd_client.types import DATETIME_OR_STR_TUPLE, SEARCH_PREDICATE_CHOICE
from rgd_client.utils import (
downloa... | /rgd-imagery-client-0.3.11.tar.gz/rgd-imagery-client-0.3.11/rgd_imagery_client/plugin.py | 0.919715 | 0.233619 | plugin.py | pypi |
from glob import glob
from math import ceil
from shutil import copyfile
import numpy as np
from joblib import Parallel, delayed, cpu_count
from sklearn.base import ClassifierMixin, RegressorMixin, is_classifier
from sklearn.exceptions import NotFittedError
from rgf import utils
ALGORITHMS = ("RGF", "RGF_Opt", "RGF_... | /rgf_python-3.12.0.tar.gz/rgf_python-3.12.0/rgf/rgf_model.py | 0.856002 | 0.517815 | rgf_model.py | pypi |
import os
from math import ceil
import numpy as np
from joblib import cpu_count
from sklearn.base import ClassifierMixin, RegressorMixin, is_classifier
from sklearn.exceptions import NotFittedError
from rgf import utils
ALGORITHMS = ("rgf", "epsilon-greedy")
LOSSES = ("LS", "MODLS", "LOGISTIC")
fastrgf_estimator_d... | /rgf_python-3.12.0.tar.gz/rgf_python-3.12.0/rgf/fastrgf_model.py | 0.758332 | 0.567997 | fastrgf_model.py | pypi |
from rgkit.render.settings import settings as render_settings
from rgkit.render.utils import rgb_to_hex, blend_colors, compute_color
class HighlightSprite(object):
def __init__(self, loc, target, render):
self.location = loc
self.target = target
self.renderer = render
self.hlt_squa... | /rgkit_py3-1.1.1.tar.gz/rgkit_py3-1.1.1/rgkit/render/highlightsprite.py | 0.721841 | 0.17434 | highlightsprite.py | pypi |
"""Evaluate a review graph mining algorithm with the amazon dataset.
"""
# pylint: disable=invalid-name
from __future__ import absolute_import, division
import logging
from logging import getLogger
import sys
import dsargparse
import amazon
LOGGER = getLogger(__name__)
#--------------------------
# Loading algorithm... | /rgmining-amazon-dataset-0.5.1.tar.gz/rgmining-amazon-dataset-0.5.1/example.py | 0.767559 | 0.439687 | example.py | pypi |
from __future__ import division
import datetime
import json
from os.path import exists, join
import site
import sys
import zipfile
_DATE_FORMAT = "%B %d, %Y"
"""Data format in the dataset.
"""
CATEGORIES = [
"cameras", "laptops", "mobilephone", "tablets", "TVs", "video_surveillance"]
"""Categories this dataset h... | /rgmining-amazon-dataset-0.5.1.tar.gz/rgmining-amazon-dataset-0.5.1/amazon.py | 0.618896 | 0.33734 | amazon.py | pypi |
"""Mixins for algebraic classes.
"""
import copy
import json
class ImmutableAdditiveGroup(object):
# Needs, __add__, __neg__, __eq__,
def __add__(self, _):
raise NotImplementedError("Subclasses must implement __add__.")
def __sub__(self, other):
return self + (-other)
def __neg__(s... | /rgmining-common-0.9.1.tar.gz/rgmining-common-0.9.1/common/helper.py | 0.800107 | 0.209652 | helper.py | pypi |
import gc
from functools import wraps
import sys
def print_args(output=sys.stdout):
"""Decorate a function so that print arguments before calling it.
Args:
output: writable to print args. (Default: sys.stdout)
"""
def decorator(func):
"""The decorator function.
"""
@wrap... | /rgmining-common-0.9.1.tar.gz/rgmining-common-0.9.1/common/decorator.py | 0.510985 | 0.230616 | decorator.py | pypi |
"""Provide helper functions and classes.
"""
# pylint: disable=invalid-name
from __future__ import absolute_import
try:
from itertools import imap, ifilter
except ImportError:
imap = map
ifilter = filter
import json
import sys
from functools import wraps
from collections import namedtuple
from dataset_io.c... | /rgmining-dataset-io-0.9.2.tar.gz/rgmining-dataset-io-0.9.2/dataset_io/helper.py | 0.751101 | 0.548432 | helper.py | pypi |
import csv
from os import path
from numpy import random
_DATA_FILE = "rating.csv"
def _fullpath(filename):
"""Compute the full path of a given filename.
Args:
filename: Filename.
Returns:
The full path of the given filename.
"""
return path.join(path.dirname(__file__), filename)
c... | /rgmining-dataset-io-0.9.2.tar.gz/rgmining-dataset-io-0.9.2/dataset_io/sampler.py | 0.865551 | 0.448306 | sampler.py | pypi |
"""Load review data formatted in JSON to a graph object.
"""
# pylint: disable=invalid-name
from __future__ import absolute_import
import json
try:
from itertools import imap, ifilter
except ImportError:
imap = map
ifilter = filter
from dataset_io.helper import convert_date
from dataset_io.helper import nor... | /rgmining-dataset-io-0.9.2.tar.gz/rgmining-dataset-io-0.9.2/dataset_io/loader.py | 0.882782 | 0.597549 | loader.py | pypi |
from fraud_eagle.labels import ProductLabel, ReviewLabel, UserLabel
# pylint: disable=too-many-branches
def psi(u_label: UserLabel, p_label: ProductLabel, r_label: ReviewLabel, epsilon: float) -> float:
"""Likelihood of a pair of user and product.
The likelihood is dependent on the review of the user gives t... | /rgmining_fraud_eagle-0.10.3.tar.gz/rgmining_fraud_eagle-0.10.3/fraud_eagle/likelihood.py | 0.917078 | 0.68433 | likelihood.py | pypi |
"""Define prior beliefs of users and products.
"""
from typing import Final
import numpy as np
from fraud_eagle.labels import ProductLabel, UserLabel
_LOG_2: Final = float(np.log(2.0))
"""Precomputed value, the logarithm of 2.0."""
def phi_u(_u_label: UserLabel) -> float:
"""Logarithm of a prior belief of a us... | /rgmining_fraud_eagle-0.10.3.tar.gz/rgmining_fraud_eagle-0.10.3/fraud_eagle/prior.py | 0.947817 | 0.808521 | prior.py | pypi |
"""Provide a bipartite graph class implementing Fraud Eagle algorithm.
"""
from functools import lru_cache
from logging import getLogger
from typing import Any, Final, Optional, cast
import networkx as nx
import numpy as np
from fraud_eagle.labels import ProductLabel, ReviewLabel, UserLabel
from fraud_eagle.likelihoo... | /rgmining_fraud_eagle-0.10.3.tar.gz/rgmining_fraud_eagle-0.10.3/fraud_eagle/graph.py | 0.972165 | 0.564909 | graph.py | pypi |
"""Provide a review graph which runs Fraudar algorithm.
"""
import tempfile
from bisect import bisect_left
from collections import defaultdict
from typing import Any, Final, Protocol
import numpy as np
from fraudar.export import greedy
from fraudar.export.greedy import logWeightedAveDegree
class Node:
"""Node o... | /rgmining_fraudar-0.7.3.tar.gz/rgmining_fraudar-0.7.3/fraudar/graph.py | 0.960473 | 0.610541 | graph.py | pypi |
import random
import numpy as np
from scipy import sparse
from .MinTree import MinTree
np.set_printoptions(linewidth=160)
# given 2 lists corresponding to the edge source and destination,
# this returns the sparse matrix representation of the data
# @profile
def listToSparseMatrix(edgesSource, edgesDest):
m = ... | /rgmining_fraudar-0.7.3.tar.gz/rgmining_fraudar-0.7.3/fraudar/export/greedy.py | 0.652463 | 0.513303 | greedy.py | pypi |
"""Implementations of histogram review and summary classes.
"""
from __future__ import absolute_import
from collections import defaultdict
import numbers
import numpy as np
from review.base import Review
from review.base import Summary
class HistoReview(Review):
"""Vector Review.
"""
__slots__ = ("_v")
... | /rgmining-review-0.9.2.tar.gz/rgmining-review-0.9.2/review/histogram.py | 0.888581 | 0.432723 | histogram.py | pypi |
"""Implementations of scalar review and summary classes.
"""
from __future__ import absolute_import
import numbers
import numpy as np
from review.base import Review
from review.base import Summary
class AverageReview(Review):
"""Scalar review.
Args:
v: a float value representing review score.
The... | /rgmining-review-0.9.2.tar.gz/rgmining-review-0.9.2/review/scalar.py | 0.968336 | 0.437523 | scalar.py | pypi |
"""Defines abstract Review and Summary classes.
"""
import math
import numbers
class _ImmutableAdditiveGroup(object):
"""Immutable additive group.
Subclass must implement __add__, __neg__, and __eq__, then this class
complements __sub__ and __ne__.
"""
__slots__ = ()
def __add__(self, _):
... | /rgmining-review-0.9.2.tar.gz/rgmining-review-0.9.2/review/base.py | 0.913046 | 0.459804 | base.py | pypi |
:description: This package provides 4 algorithms for review graph mining project.
Mutually Reinforcing Analysis (MRA) algorithm is an algorithm we've
introduced in DEXA 2011, Repeated Improvement Analysis (RIA) algorithm
is an algorithm we've introduced in DEIM 2015.
.. _top:
Repeated Improvement Analysis... | /rgmining-ria-0.9.6.tar.gz/rgmining-ria-0.9.6/docs/source/index.rst | 0.957298 | 0.767864 | index.rst | pypi |
from __future__ import absolute_import, division
import json
from logging import getLogger
import math
import numpy as np
import networkx as nx
from common import memoized
from ria.credibility import WeightedCredibility
from review import AverageSummary
LOGGER = getLogger(__name__)
class _Node(object):
"""Abs... | /rgmining-ria-0.9.6.tar.gz/rgmining-ria-0.9.6/ria/bipartite.py | 0.919832 | 0.267837 | bipartite.py | pypi |
from __future__ import absolute_import
from ria import bipartite
class Reviewer(bipartite.Reviewer):
"""Reviewer which uses normalized summations for updated anomalous scores.
This reviewer will update its anomalous score by computing summation of
partial anomalous scores instead of using a weighted aver... | /rgmining-ria-0.9.6.tar.gz/rgmining-ria-0.9.6/ria/bipartite_sum.py | 0.936952 | 0.611585 | bipartite_sum.py | pypi |
from __future__ import absolute_import
import numpy as np
from common import memoized
class UniformCredibility(object):
"""Uniform credibility assigns 1 for every product.
Formally, this credibility is defined by
.. math::
{\\rm cred}(p) = 1,
where *p* is a product.
Uniform credibilit... | /rgmining-ria-0.9.6.tar.gz/rgmining-ria-0.9.6/ria/credibility.py | 0.956533 | 0.513546 | credibility.py | pypi |
"""Implementation of RSD.
"""
from collections.abc import Collection
from functools import cache
from typing import Final, NamedTuple, Optional
import networkx as nx
import numpy as np
def _scale(v: float) -> float:
"""Scaling a given value.
The output is defined by
.. math::
{\\rm scale}(v) =... | /rgmining_rsd-0.3.3.tar.gz/rgmining_rsd-0.3.3/rsd/graph.py | 0.965682 | 0.610337 | graph.py | pypi |
"""Analyze and handle datasets.
"""
from __future__ import absolute_import
import datetime
import logging
from os import path
import sys
from common.writer import JSONWriter, CSVWriter
import dataset_io
import dsargparse
import ria
import numpy as np
import helper
# Input type
def file_or_list(value):
"""Argume... | /rgmining-script-0.6.1.tar.gz/rgmining-script-0.6.1/dataset.py | 0.786582 | 0.447943 | dataset.py | pypi |
from __future__ import absolute_import
import logging
import sys
import dsargparse
import dataset_io
import helper
def analyze(graph, output=sys.stdout, loop=20, threshold=10**-5):
"""Execute iteration.
The iteration ends if the number of iteration reaches the given maximum
number of iteration, loop, o... | /rgmining-script-0.6.1.tar.gz/rgmining-script-0.6.1/analyze.py | 0.701202 | 0.473901 | analyze.py | pypi |
from logging import getLogger
_LOGGER = getLogger(__name__)
"""Logger.
"""
ALGORITHMS = {}
"""Dictionary of installed algorithms.
Keys are the names of the installed algorithms, and the associated value is
the graph creation function of that dataset.
"""
# Load and register RIA.
try:
import ria
except ImportEr... | /rgmining-script-0.6.1.tar.gz/rgmining-script-0.6.1/helper/algorithms.py | 0.847968 | 0.233728 | algorithms.py | pypi |
import functools
from logging import getLogger
import dataset_io
_LOGGER = getLogger(__name__)
"""Logger.
"""
DATASETS = {}
"""Dictionary of installed datasets.
Keys are the names of the installed datasets, and the associated values are
load function of that dataset.
"""
def ignore_kwargs(func):
"""Decorator t... | /rgmining-script-0.6.1.tar.gz/rgmining-script-0.6.1/helper/datasets.py | 0.73678 | 0.332446 | datasets.py | pypi |
:description: Explaining the basic usage of the analyze command.
Analyze command usage
=======================
.. raw:: html
<div class="addthis_inline_share_toolbox"></div>
The basic usage of this command is
.. code:: sh
$ analyze <dataset-specifier> <dataset-parameters> <method-specifier> <method-parame... | /rgmining-script-0.6.1.tar.gz/rgmining-script-0.6.1/docs/source/analyze.rst | 0.921225 | 0.847968 | analyze.rst | pypi |
"""Evaluate a review graph mining algorithm with the synthetic dataset.
"""
# pylint: disable=invalid-name
from __future__ import absolute_import, division
import json
import logging
from logging import getLogger
import math
from os import path
import sys
import dsargparse
from matplotlib import pyplot
import numpy as... | /rgmining-synthetic-dataset-0.9.3.tar.gz/rgmining-synthetic-dataset-0.9.3/synthetic_evaluation.py | 0.858081 | 0.434101 | synthetic_evaluation.py | pypi |
from __future__ import division
from contextlib import closing
import datetime
import json
from os.path import exists, join
import site
import sys
import tarfile
_DATE_FORMAT = "%B %d, %Y"
"""Data format in the dataset.
"""
def _files(tar):
"""Yields a file in the tar file.
"""
info = tar.next()
whi... | /rgmining-tripadvisor-dataset-0.5.6.tar.gz/rgmining-tripadvisor-dataset-0.5.6/tripadvisor.py | 0.60778 | 0.319838 | tripadvisor.py | pypi |
"""Evaluate a review graph mining algorithm with the Trip Advisor dataset.
"""
# pylint: disable=invalid-name
from __future__ import absolute_import, division
import logging
from logging import getLogger
import sys
import dsargparse
import tripadvisor
LOGGER = getLogger(__name__)
#--------------------------
# Loadin... | /rgmining-tripadvisor-dataset-0.5.6.tar.gz/rgmining-tripadvisor-dataset-0.5.6/sample.py | 0.77586 | 0.455925 | sample.py | pypi |
import math
import matplotlib.pyplot as plt
from .Generaldistribution import Distribution
class Gaussian(Distribution):
""" Gaussian distribution class for calculating and
visualizing a Gaussian distribution.
Attributes:
mean (float) representing the mean value of the distribution
stdev (float) representing ... | /rgmrcy_distributions-0.1.0.tar.gz/rgmrcy_distributions-0.1.0/rgmrcy_distributions/Gaussiandistribution.py | 0.688364 | 0.853058 | Gaussiandistribution.py | pypi |
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# bu... | /smali/visitor.py | 0.874104 | 0.23268 | visitor.py | pypi |
[](https://github.com/RedisGears/rgsync)
[](https://circleci.com/gh/RedisGears/rgsync/tree/master)
![GitHub Actions](https://github.com/redisgears/rgsync/actions/workflo... | /rgsync-1.2.0.tar.gz/rgsync-1.2.0/README.md | 0.408513 | 0.92297 | README.md | pypi |
from rgtracker.record import *
from rgtracker.tracker import *
from rgtracker.common import *
from rgtracker.website import *
from rgtracker.section import *
from rgtracker.page import *
from rgtracker.device import *
from rgtracker.pageviews import *
from redisgears import log
# Pageviews Rotation Jobs - CMS
pagevie... | /rgtracker-0.0.1.1.226.tar.gz/rgtracker-0.0.1.1.226/src/jobs/megastar.py | 0.587943 | 0.167968 | megastar.py | pypi |
from __future__ import absolute_import, print_function, unicode_literals
# stdlib
import time
import subprocess
from multiprocessing import Lock
import traceback
import requests
from typing import List, Tuple, Dict, Optional
from . import logutil
# 3rd party
import koji
import koji_cli.lib
import wrapt
logger = lo... | /rh_doozer-1.2.27-py3-none-any.whl/doozerlib/brew.py | 0.774242 | 0.207215 | brew.py | pypi |
from __future__ import absolute_import, print_function, unicode_literals
import json
from tenacity import retry, stop_after_attempt, wait_fixed
from urllib import request
RHCOS_BASE_URL = "https://releases-rhcos-art.cloud.privileged.psi.redhat.com/storage/releases"
def rhcos_release_url(version, arch="x86_64", priva... | /rh_doozer-1.2.27-py3-none-any.whl/doozerlib/rhcos.py | 0.49707 | 0.173603 | rhcos.py | pypi |
from __future__ import absolute_import, print_function, unicode_literals
from future import standard_library
standard_library.install_aliases()
import yaml
import logging
import urllib.parse
import os
import shutil
import io
from . import exectools
from .pushd import Dir
from doozerlib import constants
SCHEMES = ['s... | /rh_doozer-1.2.27-py3-none-any.whl/doozerlib/gitdata.py | 0.555918 | 0.219411 | gitdata.py | pypi |
from __future__ import absolute_import, print_function, unicode_literals
from future.utils import as_native_str
import glob
import json
import os
import re
import shutil
import threading
import yaml
import io
from functools import wraps
from dockerfile_parse import DockerfileParser
from doozerlib import brew, exectool... | /rh_doozer-1.2.27-py3-none-any.whl/doozerlib/operator_metadata.py | 0.703753 | 0.169166 | operator_metadata.py | pypi |
from __future__ import absolute_import, print_function, unicode_literals
import os
import io
from future.standard_library import install_aliases
install_aliases()
from urllib.parse import urlparse
import requests
from doozerlib.logutil import getLogger
from doozerlib.util import mkdirs, is_in_directory
from doozerlib.... | /rh_doozer-1.2.27-py3-none-any.whl/doozerlib/source_modifications.py | 0.717012 | 0.197251 | source_modifications.py | pypi |
import glob
import io
import json
import os
import re
import threading
import yaml
from dockerfile_parse import DockerfileParser
from doozerlib import brew, exectools, logutil, pushd
class OLMBundle(object):
"""This class is responsible for generating bundle containers out of previously built operators
Ever... | /rh_doozer-1.2.27-py3-none-any.whl/doozerlib/olm/bundle.py | 0.595022 | 0.27075 | bundle.py | pypi |
from __future__ import absolute_import, print_function, unicode_literals
import click
import datetime
from multiprocessing import cpu_count
from multiprocessing.dummy import Pool as ThreadPool
import re
from errata_tool import Erratum
from kerberos import GSSError
# ---------------------------------------------------... | /rh_elliott-1.0.15-py3-none-any.whl/elliottlib/util.py | 0.562537 | 0.152947 | util.py | pypi |
from __future__ import absolute_import, print_function, unicode_literals
from future import standard_library
standard_library.install_aliases()
from errata_tool import ErrataConnector
import datetime
import json
import ssl
import re
from elliottlib import exceptions, constants, brew, logutil, bzutil
from elliottlib.uti... | /rh_elliott-1.0.15-py3-none-any.whl/elliottlib/errata.py | 0.555918 | 0.16398 | errata.py | pypi |
from __future__ import absolute_import, print_function, unicode_literals
from . import logutil
import os
from io import BytesIO
import collections
import tarfile
import pygit2
import errata_tool
import koji
import logging
from . import constants
from future.standard_library import install_aliases
install_aliases()
from... | /rh_elliott-1.0.15-py3-none-any.whl/elliottlib/tarball_sources.py | 0.662796 | 0.226473 | tarball_sources.py | pypi |
from __future__ import absolute_import, print_function, unicode_literals
# stdlib
from subprocess import check_output, CalledProcessError
import json
# ours
from elliottlib.exceptions import ElliottFatalError
def get_bug_list(working_dir, old, new):
"""
Get fixed bugzilla IDs between two payloads. Needs to ... | /rh_elliott-1.0.15-py3-none-any.whl/elliottlib/openshiftclient.py | 0.54577 | 0.216798 | openshiftclient.py | pypi |
from __future__ import absolute_import, print_function, unicode_literals
from future.utils import as_native_str
from future.standard_library import install_aliases
install_aliases()
from urllib.parse import urlparse
import yaml
import ruamel.yaml
import ruamel.yaml.util
import logging
import os
import shutil
from . im... | /rh_elliott-1.0.15-py3-none-any.whl/elliottlib/gitdata.py | 0.568536 | 0.215392 | gitdata.py | pypi |
from __future__ import absolute_import, print_function, unicode_literals
from future.utils import as_native_str
# stdlib
from future import standard_library
standard_library.install_aliases()
from time import sleep
import urllib.parse
from elliottlib import logutil
# ours
from . import constants
from elliottlib impor... | /rh_elliott-1.0.15-py3-none-any.whl/elliottlib/bzutil.py | 0.628179 | 0.253081 | bzutil.py | pypi |
from __future__ import absolute_import, print_function, unicode_literals
import asyncio
import json
import shlex
import subprocess
import time
from . import assertion, logutil, pushd
SUCCESS = 0
logger = logutil.getLogger(__name__)
class RetryException(Exception):
"""
Provide a custom exception for retry ... | /rh_elliott-1.0.15-py3-none-any.whl/elliottlib/exectools.py | 0.61231 | 0.321154 | exectools.py | pypi |
from validator import support
from schema import Schema, Optional, Use, And, Or, SchemaError
def image_schema(file):
valid_arches = [
'x86_64',
]
valid_modification_actions = [
'command',
'replace',
]
valid_modification_commands = [
'update-console-sources',
]... | /rh-ocp-build-data-validator-0.0.8.tar.gz/rh-ocp-build-data-validator-0.0.8/validator/schema/image_schema.py | 0.421433 | 0.228146 | image_schema.py | pypi |
import numpy as np
from .non_dimension import toone
from .check_func import array_check
def __variability(data: np.ndarray) -> np.ndarray:
array_check(data=data)
length, _ = data.shape
ave_x = np.mean(data, axis=0)
diff = data - ave_x
sum_var = np.sum(diff**2, axis=0) / (length - 1)
return np.... | /Rh-s-PyTool-0.3.0.tar.gz/Rh-s-PyTool-0.3.0/src/index_calmeth/weights.py | 0.768038 | 0.747224 | weights.py | pypi |
import numpy as np
from .non_dimension import toone
from .check_func import array_check
def topsis(
data_origin: np.ndarray, weights: list[int | float] | np.ndarray
) -> np.matrix | None:
"""计算优劣解距离法得分矩阵，weights为权重矩阵。
Args:
data_origin (np.ndarray): 待计算数据
weights (np.ndarray): 权重数组
... | /Rh-s-PyTool-0.3.0.tar.gz/Rh-s-PyTool-0.3.0/src/index_calmeth/evaluation.py | 0.832373 | 0.757032 | evaluation.py | pypi |
from math import radians, cos, sin, asin, sqrt
from .classdefine import Addr
from .special import ZXCITIES
def lookup(name: str, level: str | None = None) -> str | None:
"""根据地名简称查找全称
Args:
name (str): 待查找地名
level (str | None): 查询区域的行政等级，包括province、city、county三级。默认值为None，当为None时不区分查找范围，因此很可能... | /Rh-s-PyTool-0.3.0.tar.gz/Rh-s-PyTool-0.3.0/src/cp_lookup/mainfunc.py | 0.539226 | 0.3671 | mainfunc.py | pypi |
from random import randint
def formatar_cpf(cpf):
return "%s.%s.%s-%s" % (cpf[0:3], cpf[3:6], cpf[6:9], cpf[9:11])
def generate(formatar=False):
"""
* Essa função gera um número de CPF válido.
* @param {Boolean} formatar define se o número do CPF deve ser gerado com os pontos e hífen.
* @retu... | /rh_util-1.5.4.tar.gz/rh_util-1.5.4/rh_util/cpf/services.py | 0.472927 | 0.44354 | services.py | pypi |
import ctypes
from . import basetypes
# Python 2/3 compatibility
try:
_basestring = basestring
except NameError:
_basestring = str
_cf = ctypes.cdll.LoadLibrary('/System/Library/Frameworks/CoreFoundation.framework/CoreFoundation')
def declare_cf_type(type_name, base_type):
class CFType(base_type):
... | /rh.osx-0.1.1.tar.gz/rh.osx-0.1.1/rh/osx/corefoundation.py | 0.525125 | 0.215475 | corefoundation.py | pypi |
[](https://travis-ci.org/biocore/rhapsody)
# rhapsody
Neural networks for estimating microbe-metabolite interactions through their co-occurence probabilities.
# Installation
Rhapsody can be installed via pypi as follows
```
pip install rhapsod... | /rhapsody-0.4.0.tar.gz/rhapsody-0.4.0/README.md | 0.453746 | 0.980986 | README.md | pypi |
import logging
import shutil
import subprocess
import tempfile
import typing
from pathlib import Path
import networkx as nx
import rhasspynlu
_LOGGER = logging.getLogger("rhasspyasr_deepspeech")
def train(
graph: nx.DiGraph,
language_model: typing.Union[str, Path],
scorer_path: typing.Union[str, Path],
... | /rhasspy-asr-deepspeech-0.4.1.tar.gz/rhasspy-asr-deepspeech-0.4.1/rhasspyasr_deepspeech/train.py | 0.578091 | 0.265863 | train.py | pypi |
import io
import logging
import math
import time
import typing
import wave
from pathlib import Path
import deepspeech
import numpy as np
from rhasspyasr import Transcriber, Transcription, TranscriptionToken
_LOGGER = logging.getLogger(__name__)
# ----------------------------------------------------------------------... | /rhasspy-asr-deepspeech-0.4.1.tar.gz/rhasspy-asr-deepspeech-0.4.1/rhasspyasr_deepspeech/transcribe.py | 0.793106 | 0.264109 | transcribe.py | pypi |
import gzip
import logging
import os
import threading
import typing
from collections import defaultdict
from dataclasses import dataclass, field
from pathlib import Path
from queue import Queue
import networkx as nx
import rhasspyasr_kaldi
import rhasspynlu
from rhasspyasr import Transcriber, Transcription
from rhassp... | /rhasspy-asr-kaldi-hermes-0.7.1.tar.gz/rhasspy-asr-kaldi-hermes-0.7.1/rhasspyasr_kaldi_hermes/__init__.py | 0.672977 | 0.186132 | __init__.py | pypi |
# Rhasspy ASR Kaldi
[](https://github.com/rhasspy/rhasspy-asr-kaldi/actions)
[](https://github.com/rhasspy/rhasspy-asr-kaldi/blob/master/... | /rhasspy-asr-kaldi-0.6.1.tar.gz/rhasspy-asr-kaldi-0.6.1/README.md | 0.53777 | 0.885086 | README.md | pypi |
import logging
import os
import shlex
import shutil
import subprocess
import tempfile
import typing
from enum import Enum
from pathlib import Path
import networkx as nx
import rhasspynlu
from rhasspynlu.g2p import PronunciationsType
_DIR = Path(__file__).parent
_LOGGER = logging.getLogger(__name__)
# ---------------... | /rhasspy-asr-kaldi-0.6.1.tar.gz/rhasspy-asr-kaldi-0.6.1/rhasspyasr_kaldi/train.py | 0.63023 | 0.268196 | train.py | pypi |
# Rhasspy ASR Pocketsphinx Hermes MQTT Service
[](https://github.com/rhasspy/rhasspy-asr-pocketsphinx-hermes/actions)
[.parent
_LOGGER = logging.getLogger(__name__)
# -------------------------------------------------------------------
def trai... | /rhasspy-asr-pocketsphinx-0.3.1.tar.gz/rhasspy-asr-pocketsphinx-0.3.1/rhasspyasr_pocketsphinx/train.py | 0.60054 | 0.315551 | train.py | pypi |
import io
import logging
import os
import time
import typing
import wave
from pathlib import Path
import pocketsphinx
from rhasspyasr import Transcriber, Transcription, TranscriptionToken
_LOGGER = logging.getLogger(__name__)
# -----------------------------------------------------------------------------
class Poc... | /rhasspy-asr-pocketsphinx-0.3.1.tar.gz/rhasspy-asr-pocketsphinx-0.3.1/rhasspyasr_pocketsphinx/transcribe.py | 0.793146 | 0.219379 | transcribe.py | pypi |
import dataclasses
import typing
from dataclasses import dataclass, field
from enum import Enum
from . import utils
@dataclass
class Entity:
"""Named entity from intent."""
entity: str
value: str
raw_value: str = ""
start: int = 0
raw_start: int = 0
end: int = 0
raw_end: int = 0
... | /rhasspy_client-1.1.1-py3-none-any.whl/rhasspyclient/intent.py | 0.899905 | 0.336277 | intent.py | pypi |
import json
import logging
import sqlite3
import typing
from pathlib import Path
import networkx as nx
import rhasspynlu
from rhasspynlu.jsgf import Sentence
import rhasspyfuzzywuzzy
from rhasspyhermes.base import Message
from rhasspyhermes.client import GeneratorType, HermesClient, TopicArgs
from rhasspyhermes.inten... | /rhasspy-fuzzywuzzy-hermes-0.6.1.tar.gz/rhasspy-fuzzywuzzy-hermes-0.6.1/rhasspyfuzzywuzzy_hermes/__init__.py | 0.68742 | 0.224385 | __init__.py | pypi |
import argparse
import json
import logging
import os
import sqlite3
import sys
import typing
from pathlib import Path
import rhasspynlu
from rhasspynlu.intent import Recognition
from . import recognize as fuzzywuzzy_recognize
from . import train as fuzzywuzzy_train
_LOGGER = logging.getLogger(__name__)
# ----------... | /rhasspy-fuzzywuzzy-0.4.0.tar.gz/rhasspy-fuzzywuzzy-0.4.0/rhasspyfuzzywuzzy/__main__.py | 0.574275 | 0.204243 | __main__.py | pypi |
import json
import logging
import sqlite3
import time
import typing
import networkx as nx
import rapidfuzz.process as fuzzy_process
import rapidfuzz.utils as fuzz_utils
import rhasspynlu
from rhasspynlu.intent import Recognition
from .train import train
_LOGGER = logging.getLogger(__name__)
# ----------------------... | /rhasspy-fuzzywuzzy-0.4.0.tar.gz/rhasspy-fuzzywuzzy-0.4.0/rhasspyfuzzywuzzy/__init__.py | 0.675765 | 0.22531 | __init__.py | pypi |
import argparse
import asyncio
import logging
import re
from copy import deepcopy
from dataclasses import dataclass
from typing import Awaitable, Callable, Dict, List, Optional, Union
import paho.mqtt.client as mqtt
import rhasspyhermes.cli as hermes_cli
from rhasspyhermes.client import HermesClient
from rhasspyhermes... | /rhasspy-hermes-app-1.1.2.tar.gz/rhasspy-hermes-app-1.1.2/rhasspyhermes_app/__init__.py | 0.758689 | 0.188249 | __init__.py | pypi |
import re
from dataclasses import dataclass
from .base import Message
@dataclass
class IntentGraphRequest(Message):
"""Request publication of intent graph from training.
.. admonition:: MQTT message
Topic
``rhasspy/train/getIntentGraph``
Payload (JSON)
.. list-table::
... | /rhasspy-hermes-0.6.2.tar.gz/rhasspy-hermes-0.6.2/rhasspyhermes/train.py | 0.854339 | 0.198064 | train.py | pypi |
from dataclasses import dataclass
from .base import Message
@dataclass
class HandleToggleOn(Message):
"""Enable intent handling.
.. admonition:: MQTT message
Topic
``rhasspy/handle/toggleOn``
Payload (JSON)
.. list-table::
:widths: 10 10 80
:header-rows: 1
... | /rhasspy-hermes-0.6.2.tar.gz/rhasspy-hermes-0.6.2/rhasspyhermes/handle.py | 0.865906 | 0.189784 | handle.py | pypi |
import typing
from dataclasses import dataclass
from dataclasses_json import LetterCase, dataclass_json
from rhasspyhermes.base import Message
@dataclass
class G2pPronounce(Message):
"""Get phonetic pronunciation for words.
The response is sent in a :class:`G2pPhonemes` message.
.. admonition:: MQTT m... | /rhasspy-hermes-0.6.2.tar.gz/rhasspy-hermes-0.6.2/rhasspyhermes/g2p.py | 0.864925 | 0.34065 | g2p.py | pypi |
import typing
from abc import ABCMeta
from dataclasses_json import DataClassJsonMixin, LetterCase, dataclass_json
@dataclass_json(letter_case=LetterCase.CAMEL)
class Message(DataClassJsonMixin, metaclass=ABCMeta):
"""Base class for Hermes messages.
All classes implementing Hermes messages are subclasses of ... | /rhasspy-hermes-0.6.2.tar.gz/rhasspy-hermes-0.6.2/rhasspyhermes/base.py | 0.880566 | 0.284011 | base.py | pypi |
import re
import typing
from dataclasses import dataclass
from enum import Enum
from dataclasses_json import LetterCase, dataclass_json
from .base import Message
class HotwordToggleReason(str, Enum):
"""Reason for hotword toggle on/off."""
UNKNOWN = ""
"""Overrides all other reasons."""
DIALOGUE_SE... | /rhasspy-hermes-0.6.2.tar.gz/rhasspy-hermes-0.6.2/rhasspyhermes/wake.py | 0.847527 | 0.199425 | wake.py | pypi |
import typing
from collections.abc import Mapping
from dataclasses import dataclass
from enum import Enum
from dataclasses_json import DataClassJsonMixin, LetterCase, dataclass_json
from dataclasses_json.core import Json
from .base import Message
class DialogueActionType(str, Enum):
"""Type of session init obje... | /rhasspy-hermes-0.6.2.tar.gz/rhasspy-hermes-0.6.2/rhasspyhermes/dialogue.py | 0.883475 | 0.210138 | dialogue.py | pypi |
import re
import typing
from dataclasses import dataclass
from enum import Enum
from .base import Message
from .nlu import AsrToken
class AsrToggleReason(str, Enum):
"""Reason for ASR toggle on/off.
Values
------
UNKNOWN
Overrides all other reasons
DIALOGUE_SESSION
Dialogue sess... | /rhasspy-hermes-0.6.2.tar.gz/rhasspy-hermes-0.6.2/rhasspyhermes/asr.py | 0.84346 | 0.18451 | asr.py | pypi |
import typing
from dataclasses import dataclass
from dataclasses_json import LetterCase, dataclass_json
from .base import Message
@dataclass
class TtsSay(Message):
"""Send text to be spoken by the text to speech component.
Note
----
This is a low-level message. You should use the dialogue manager'... | /rhasspy-hermes-0.6.2.tar.gz/rhasspy-hermes-0.6.2/rhasspyhermes/tts.py | 0.767516 | 0.198336 | tts.py | pypi |
import typing
from dataclasses import dataclass
from dataclasses_json import LetterCase, dataclass_json
@dataclass_json(letter_case=LetterCase.CAMEL)
@dataclass
class Intent:
"""Intent object with a name and confidence score."""
intent_name: str
"""The name of the detected intent."""
confidence_scor... | /rhasspy-hermes-0.6.2.tar.gz/rhasspy-hermes-0.6.2/rhasspyhermes/intent.py | 0.888172 | 0.666587 | intent.py | pypi |
import re
import typing
from dataclasses import dataclass
from dataclasses_json import LetterCase, dataclass_json
from .base import Message
from .intent import Intent, Slot
@dataclass
class NluQuery(Message):
"""Request intent recognition from NLU component.
.. admonition:: MQTT message
Topic
... | /rhasspy-hermes-0.6.2.tar.gz/rhasspy-hermes-0.6.2/rhasspyhermes/nlu.py | 0.852675 | 0.224778 | nlu.py | pypi |
import audioop
import io
import re
import time
import typing
import wave
from dataclasses import dataclass
from enum import Enum
from .base import Message
@dataclass
class AudioFrame(Message):
"""Recorded frame of audio.
Attributes
----------
wav_bytes: bytes
Recorded audio frame in WAV form... | /rhasspy-hermes-0.6.2.tar.gz/rhasspy-hermes-0.6.2/rhasspyhermes/audioserver.py | 0.849815 | 0.368377 | audioserver.py | pypi |
import logging
import os
import ssl
import typing
from enum import Enum
from urllib.parse import urljoin
from uuid import uuid4
import aiohttp
from rhasspyhermes.base import Message
from rhasspyhermes.client import GeneratorType, HermesClient
from rhasspyhermes.handle import HandleToggleOff, HandleToggleOn
from rhassp... | /rhasspy-homeassistant-hermes-0.2.1.tar.gz/rhasspy-homeassistant-hermes-0.2.1/rhasspyhomeassistant_hermes/__init__.py | 0.677474 | 0.152095 | __init__.py | pypi |
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